Energy‐efficient scheduling algorithms for batch‐of‐tasks (BoT) applications on heterogeneous computing systems

One of the major design constraints of a heterogeneous computing system is optimal scheduling, that is, mapping of tasks on the processing nodes in order to optimize the QoS parameters. Because of the huge energy consumption by computing resources, negative environmental effects and reduced system reliability, energy has unavoidably been added as a new parameter to the list of QoS parameters. Energy optimization in scheduling strategies along with makespan makes it an even more challenging combinatorial optimization problem. This work proposes two energy‐aware scheduling algorithms G1 and G2 to schedule a batch‐of‐tasks, made of a collection of independent tasks, on heterogeneous processors in order to minimize the makespan and the energy consumption. The proposed algorithms schedule tasks based on weighted aggregation cost function to the appropriate processors followed by task migration phase designed to further minimize the makespan and the energy consumption. The study evaluates the performance of the proposed algorithms with some of the peers, that is, MinMin, MINSuff on account of makespan, energy consumption, flowtime, and utilization. An experimental study reveals that the proposed algorithm (G2) consistently performs better under various test conditions. Copyright © 2015 John Wiley & Sons, Ltd.     

物链网综述:区块链在物联网中的应用

物联网设备数量的激增和中心化的管理架构给物联网的发展带来了严峻的挑战，区块链技术的去中心化和不可篡改等特点可以用来解决物联网的上述难题，故此将区块链技术应用到物联网领域成为研究热点。随着区块链技术在物联网应用中的深入研究，出现了一个新的概念："物链网"。本文首先介绍了物联网的行业痛点和区块链相关技术，然后分析了将区块链技术应用到物联网领域的论文和白皮书，把融合文献分为平台架构和应用场景两类后，进行归纳总结，并调研了应用领域的典型公链和商业项目，指出了将区块链技术应用于物联网领域所面临的挑战与机遇，讨论了相应的解决方案，最后展望了"物链网"未来的发展趋势，提出未来研究方向应侧重于数据存储和数据管理方向。